Open to opportunities

fahim ullah

@fahimullah

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AI Engineer and Machine Learning developer building scalable computer-vision and NLP solutions.

Pakistan

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What I'm looking for

I seek roles building and deploying production AI systems (CV/NLP/automation) in collaborative teams focused on impact, scalability, and continuous learning.

I am an AI Engineer and Machine Learning developer experienced in computer vision, NLP, AI automation, and predictive modeling, with hands-on work delivering production-ready applications such as disease classifiers, brain tumor detection, and emotion recognition. I build end-to-end ML pipelines, apply transfer learning, perform model evaluation and interpretability, and deploy models via Flask to create real-world, scalable solutions.

I have a proven track record across internships and projects improving model accuracy and automating workflows using tools like Zapier, n8n, and Power Automate. I am a strong problem solver, quick learner, and collaborative team player who focuses on practical impact, reliability, and operational efficiency in AI systems.

Experience

Work history, roles, and key accomplishments

AI & Automation Intern

Diorolin Software House

Aug 2025 - Sep 2025 (1 month)

Built automation workflows for client reporting systems, improving efficiency and reducing manual workload; prototyped internal automation projects and integrated AI-powered tools to streamline processes.

Workflow Automation Zapier Power Automate N8n Python Prototyping Report Automation Integration

Deep Learning Intern

Itsolerah

Oct 2024 - Jan 2025 (3 months)

Designed and trained CNN models for emotion detection, plant disease classification, and object detection; implemented preprocessing and augmentation pipelines and improved model accuracy and generalization.

Deep Learning CNN Transfer Learning PyTorch TensorFlow Model Evaluation

AI & ML Intern

Ezitech

Jul 2024 - Oct 2024 (3 months)

Developed fraud detection, churn prediction, and recommendation systems; performed data cleaning, feature engineering, and applied ensemble techniques and interpretability methods to improve classification accuracy.

Machine Learning Model Interpretability Python scikit learn data preprocessing Recommendation Systems

Machine Learning Intern

Intern Intelligence

Jan 2024 - Mar 2024 (2 months)

Built end-to-end ML pipelines and deployed models via Flask; applied transfer learning and hyperparameter tuning to improve performance on small/imbalanced datasets and evaluated models using ROC and precision-recall metrics.

Flask Transfer Learning Hyperparameter Tuning Model Evaluation scikit learn TensorFlow Deployment

Education

Degrees, certifications, and relevant coursework

Kohat University of Science and Technology

Bachelor of Computer Science, Computer Science

Activities and societies: Thesis: Skin Disease Classification using EfficientNetB3 and Transfer Learning; projects in computer vision and ML including skin disease classifier, brain tumor detection, and deployment via Flask.

Bachelor of Computer Science with a thesis on skin disease classification using EfficientNetB3 and transfer learning; graduated July 2025.